James Bonney Lee, Zaidi Shaesta Naseem, Bs Naveen, R Vidya Bhushan, Dokhe Yogesh, Shetty Vivek, Pillai Vijay, Kuriakose Moni Abraham, Suresh Amritha
Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore 560099, India.
Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India.
Oncol Lett. 2024 Sep 6;28(5):540. doi: 10.3892/ol.2024.14673. eCollection 2024 Nov.
Profiling studies using reverse transcription quantitative PCR (RT-qPCR) require reliable normalization to reference genes to accurately interpret the results. A stable reference gene panel was established to profile metastatic and non-metastatic lymph nodes in patients with oral squamous cell carcinoma. The stability of 18S ribosomal RNA (), ribosomal Protein Lateral Stalk Subunit P0 (), ribosomal Protein L27 (), TATA-box binding protein (), hypoxanthine phosphoribosyl-transferase 1 (), beta-actin (), glyceraldehyde-3-Phosphate Dehydrogenase () and vimentin () was evaluated, as reference genes for profiling patient-derived lymph node stromal cells (LNSCs; N=8; N0:6, N+:2) and lymph node tissues (Patients:14, Nodes=20; N0:7; N+:13). The genes were initially assessed based on their expression levels, specificity, and stability rankings to identify the best combination of reference genes. was excluded from the final analysis because of its low expression (high quantification cycle >32) and multiple peaks in the melting curve. The stability analysis was performed using Reffinder, which utilizes four tools; geNorm, NormFinder, BestKeeper and Comparative ∆Ct methods, thereby enabling the computing of a comprehensive ranking. Evaluation of the gene profiles indicated that while and were stable in both lymph node tissues and LNSCs, were uniquely stable in these tissues whereas and were most stable in LNSCs. The present study identified the most stable reference gene panel for the RT-qPCR profiling of lymph node tissues and patient-derived LNSCs. The observation that the gene panel differed between the two model systems further emphasized the need to evaluate the reference gene subset based on the disease and cellular context.
使用逆转录定量聚合酶链反应(RT-qPCR)进行的分析研究需要可靠地标准化至参考基因,以准确解释结果。建立了一个稳定的参考基因面板,用于分析口腔鳞状细胞癌患者转移和非转移淋巴结的情况。评估了18S核糖体RNA()、核糖体蛋白侧柄亚基P0()、核糖体蛋白L27()、TATA框结合蛋白()、次黄嘌呤磷酸核糖转移酶1()、β-肌动蛋白()、甘油醛-3-磷酸脱氢酶()和波形蛋白()作为分析患者来源的淋巴结基质细胞(LNSCs;N = 8;N0:6,N+:2)和淋巴结组织(患者:14,淋巴结= 20;N0:7;N+:13)的参考基因的稳定性。最初根据基因的表达水平、特异性和稳定性排名对这些基因进行评估,以确定参考基因的最佳组合。由于其低表达(高定量循环>32)和熔解曲线中的多个峰,最终分析中排除了(该基因)。使用Reffinder进行稳定性分析,Reffinder利用四种工具;geNorm、NormFinder、BestKeeper和比较∆Ct方法,从而能够计算出一个综合排名。基因谱评估表明,虽然(某些基因)在淋巴结组织和LNSCs中均稳定,但(另一些基因)在这些组织中具有独特的稳定性,而(还有一些基因)在LNSCs中最稳定。本研究确定了用于淋巴结组织和患者来源的LNSCs的RT-qPCR分析的最稳定参考基因面板。两个模型系统之间基因面板不同的观察结果进一步强调了根据疾病和细胞背景评估参考基因子集的必要性。